K. Venugopal

787 total citations
28 papers, 404 citations indexed

About

K. Venugopal is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, K. Venugopal has authored 28 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nuclear and High Energy Physics, 10 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in K. Venugopal's work include Astrophysics and Cosmic Phenomena (10 papers), Adaptive Control of Nonlinear Systems (6 papers) and Neural Networks and Applications (6 papers). K. Venugopal is often cited by papers focused on Astrophysics and Cosmic Phenomena (10 papers), Adaptive Control of Nonlinear Systems (6 papers) and Neural Networks and Applications (6 papers). K. Venugopal collaborates with scholars based in United States and India. K. Venugopal's co-authors include A.S. Pandya, Unnikrishnan Kuzhiumparambil, R. Sudhakar, Dewey Odhner, Supun Samarasekera, S.S. Furuie, Jayaram K. Udupa, A. K. Tickoo, R. Koul and S.M. Smith and has published in prestigious journals such as Neural Computation, Neural Networks and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

K. Venugopal

25 papers receiving 374 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. Venugopal United States 9 122 101 72 64 58 28 404
Zhenzhen Wang China 10 227 1.9× 17 0.2× 14 0.2× 222 3.5× 8 0.1× 33 434
Gerhard Kurz Germany 13 408 3.3× 81 0.8× 20 0.3× 73 1.1× 22 0.4× 73 622
A. Bulgarelli Italy 10 25 0.2× 17 0.2× 177 2.5× 122 1.9× 11 0.2× 87 548
H. Kasban Egypt 15 52 0.4× 39 0.4× 15 0.2× 213 3.3× 55 0.9× 53 630
Francesco Biscani Netherlands 7 98 0.8× 29 0.3× 9 0.1× 15 0.2× 7 0.1× 23 350
Xiao‐Feng Gong China 15 86 0.7× 34 0.3× 5 0.1× 37 0.6× 5 0.1× 61 741
B.A. Baertlein United States 9 27 0.2× 24 0.2× 9 0.1× 52 0.8× 40 0.7× 20 370
Ronald L. Allen United States 7 71 0.6× 38 0.4× 2 0.0× 64 1.0× 11 0.2× 10 293
Mark Rutten Australia 12 317 2.6× 42 0.4× 3 0.0× 52 0.8× 40 0.7× 30 673
D. Goldgof United States 12 135 1.1× 8 0.1× 17 0.2× 561 8.8× 20 0.3× 16 873

Countries citing papers authored by K. Venugopal

Since Specialization
Citations

This map shows the geographic impact of K. Venugopal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by K. Venugopal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Venugopal more than expected).

Fields of papers citing papers by K. Venugopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Venugopal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by K. Venugopal. The network helps show where K. Venugopal may publish in the future.

Co-authorship network of co-authors of K. Venugopal

This figure shows the co-authorship network connecting the top 25 collaborators of K. Venugopal. A scholar is included among the top collaborators of K. Venugopal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. Venugopal. K. Venugopal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Venugopal, K., S. Godambe, D. Sarkar, et al.. (2025). Performance characterization of the camera integrated modules for the MACE telescope. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1074. 170258–170258.
2.
3.
Singh, K. K., et al.. (2022). Development of a new type of metallic mirrors for 21m MACE γ-ray telescope. Journal of Astrophysics and Astronomy. 43(1). 2 indexed citations
4.
Nagarajan, R. & K. Venugopal. (2014). Socialistic Decision Making Approach for Bipolar Fuzzy Soft H-Ideals over Hemi Rings. 1 indexed citations
5.
Tickoo, A. K., K. Venugopal, R. C. Rannot, et al.. (2011). Simulation studies for optimizing the trigger generation criteria for the TACTIC telescope. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 646(1). 204–218. 4 indexed citations
6.
Chandra, P., Krishna K. Yadav, R. C. Rannot, et al.. (2010). TeV observations of Mrk 421 with the TACTIC γ-ray telescope during 2006–8. Journal of Physics G Nuclear and Particle Physics. 37(12). 125201–125201. 8 indexed citations
7.
Godambe, S., R. C. Rannot, P. Chandra, et al.. (2008). Very high energy γ-ray observations of Mrk 501 using the TACTIC imaging γ-ray telescope during 2005–06. Journal of Physics G Nuclear and Particle Physics. 35(6). 65202–65202. 8 indexed citations
8.
Yadav, Krishna K., P. Chandra, A. K. Tickoo, et al.. (2007). Observations of TeV γ-rays from Mrk 421 during December 2005 to April 2006 with the TACTIC telescope. Astroparticle Physics. 27(5). 447–454. 18 indexed citations
9.
Tickoo, A. K., R. Koul, Naveen Kumar, et al.. (2004). A generalized ray-tracing procedure for an atmospheric Cherenkov imaging telescope and optical characteristics of the TACTIC light collector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 539(1-2). 177–190. 4 indexed citations
10.
Venugopal, K., A.S. Pandya, & R. Sudhakar. (2003). Alopex algorithm for adaptive control of dynamical systems. 2. 875–880. 1 indexed citations
11.
Kuzhiumparambil, Unnikrishnan & K. Venugopal. (2003). Learning in connectionist networks using the Alopex algorithm. 1. 926–931. 2 indexed citations
12.
Tickoo, A. K., et al.. (2002). Towards absolute gain calibration of the TACTIC imaging element. Bulletin of the Astronomical Society of India. 30. 381. 1 indexed citations
13.
Bhatt, N., et al.. (2001). On a single-counts rate stabilization scheme employed in the imaging camera of the TACTIC γ-ray telescope. Measurement Science and Technology. 12(2). 167–171. 7 indexed citations
14.
Venugopal, K., R. Sudhakar, & A.S. Pandya. (1995). An improved scheme for direct adaptive control of dynamical systems using backpropagation neural networks. Circuits Systems and Signal Processing. 14(2). 213–236. 17 indexed citations
15.
Venugopal, K., et al.. (1994). A recurrent neural network controller and learning algorithm for the on-line learning control of autonomous underwater vehicles. Neural Networks. 7(5). 833–846. 23 indexed citations
16.
Kuzhiumparambil, Unnikrishnan & K. Venugopal. (1994). Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks. Neural Computation. 6(3). 469–490. 80 indexed citations
17.
Venugopal, K. & S.M. Smith. (1993). Improving the dynamic response of neural network controllers using velocity reference feedback. IEEE Transactions on Neural Networks. 4(2). 355–357. 5 indexed citations
18.
Venugopal, K., et al.. (1992). Invariant recognition of 2-D objects using Alopex neural networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1709. 182–182. 4 indexed citations
19.
Venugopal, K., R. Sudhakar, & A.S. Pandya. (1992). On-line learning control of autonomous underwater vehicles using feedforward neural networks. IEEE Journal of Oceanic Engineering. 17(4). 308–319. 69 indexed citations
20.
Venugopal, K., et al.. (1991). <title>Continuous recognition of sonar targets using neural networks</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1471. 44–53. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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